suddengains: Identify Sudden Gains in Longitudinal Data

Identify sudden gains based on the three criteria outlined by Tang and DeRubeis (1999) <doi:10.1037/0022-006X.67.6.894> to a selection of repeated measures. Sudden losses, defined as the opposite of sudden gains can also be identified. Two different datasets can be created, one including all sudden gains/losses and one including one selected sudden gain/loss for each case. It can extract scores around sudden gains/losses. It can plot the average change around sudden gains/losses and trajectories of individual cases.

Version: 0.7.2
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 0.8.0), tibble (≥ 2.1.1), magrittr (≥ 1.5), rlang (≥ 0.3.4), stringr (≥ 1.4.0), ggplot2 (≥ 3.1.1), psych (≥ 1.8.12), readr (≥ 1.3.1), tidyr (≥ 0.8.2), ggrepel (≥ 0.8.0), patchwork (≥ 1.0.0), forcats, naniar, scales, cli
Suggests: haven (≥ 2.1.0), writexl (≥ 1.1.0), knitr (≥ 1.21), DT (≥ 0.5), rmarkdown (≥ 1.11), spelling (≥ 2.1)
Published: 2023-02-28
DOI: 10.32614/CRAN.package.suddengains
Author: Milan Wiedemann ORCID iD [aut, cre], Graham M Thew ORCID iD [aut], Richard Stott ORCID iD [ctb], Anke Ehlers ORCID iD [ctb, ths], Mental Health Research UK [fnd], Wellcome Trust [fnd]
Maintainer: Milan Wiedemann <milan.wiedemann at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: suddengains citation info
Materials: README NEWS
CRAN checks: suddengains results


Reference manual: suddengains.pdf
Vignettes: shinygains: An interactive illustration of the suddengains R package
A tutorial on using the suddengains R package


Package source: suddengains_0.7.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): suddengains_0.7.2.tgz, r-oldrel (arm64): suddengains_0.7.2.tgz, r-release (x86_64): suddengains_0.7.2.tgz, r-oldrel (x86_64): suddengains_0.7.2.tgz
Old sources: suddengains archive


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